MUHAMMAD TAHIR
Aspiration Statement
“I want to pursue my postgraduate studies in Artificial Intelligence, specifically in Natural Language Processing. As a career, I am inclined towards a company that lets me develop my problem-solving skills more and exposes me to managing a team. My other passions include basketball, violin, freelancing and travelling.”
Core Skills
- Python, C++
- Website Development
- Verilog HDL
- Android Application Development (Java, XML, Android Studio)
- Cloud Management
- Object-Oriented Programming (OOP)
Academic Awards / Achievements
- Dean’s List - Fall 2018
- HU Meritorious Award
- Earned Gold Medal for securing 1st position in International Bebras Informatics Contest 2015
Experience
Leadership / Meta-curricular
- Habib University, TEDx Habib University, Model United Nations I, and Omicron - Organizer
- Certfication: Neural Networks and Deep Learning - DeepLearning.AI
- Front-End Web UI Frameworks and Tools: Bootstrap 4 - The Hong Kong University of Science and Technology
Internship / Volunteer Work
- Software Engineer - Stellic (Nov 2021 - Present)
- Analyst Software Engineer - Afiniti (Jul 2020 - Oct 2021)
- Habib University - Teaching Assistant/Tutor
- PTCL IP Core Network Operations - Intern
- Tech Karo, Circle - Intern
- Decor Automobiles - Website Development/Designing
- ST Public School, Tando Allah Yar - Website Development/Designing
Publications / Creative Projects
Final Year Project
Project Title
Project Cleanup
Description
The project is introduced to help with the garbage problem in Pakistan. Most of the garbage stays on the roads, and streets because no one comes to pick it up and the authority is unaware of the situation. We are introducing an app that lets the user take pictures of the garbage and upload them with a description to our database. We have a Machine Learning model on the Cloud that takes in the image of the garbage, identifies where the garbage is, segments that part of the picture out, and then finds the approximate volume of the garbage from the picture. It finally enters this data back into the Cloud. The project also has a Web Admin Panel that shows all the jobs that the users have uploaded, along with the volume and location of the garbage that you can use to efficiently map out the route for pickup. (Group Project)